scholarly journals 1950MHz Radio Frequency Electromagnetic Radiation Inhibits Testosterone Secretion of Mouse Leydig Cells

2017 ◽  
Vol 15 (1) ◽  
pp. 17 ◽  
Author(s):  
Yan-Yun Lin ◽  
Tao Wu ◽  
Jun-Ye Liu ◽  
Peng Gao ◽  
Kang-Chu Li ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Electromagnetic Radiation ◽  
Leydig Cells ◽  
Testosterone Secretion

Biological effects of low-intensity radiofrequency fields and risk assessment for biota

2020 ◽  
Vol 60 (9) ◽  
pp. 592-596
Author(s):  
Elena I. Sarapultseva ◽  
Darya V. Uskalova ◽  
Ksenya V. Ustenko
Keyword(s):  
Radio Frequency ◽  
Electromagnetic Radiation ◽  
Electromagnetic Fields ◽  
Negative Impact ◽  
Biological Effects ◽  
High Sensitivity ◽  
Communication Technologies ◽  
Natural Ecosystems ◽  
Low Intensity ◽  
Different Levels

Despite the fact that there are still conflicting opinions about the damage caused by modern wireless communication technologies, most scientists report on the negative biological effects of low-intensity radio frequency electromagnetic radiation at different levels of the organization of live nature. There is no doubt that there is a need not only for a sanitary and hygienic assessment of man-made electromagnetic effects on humans, but also for an environmental assessment for biota. The purpose of the study was to assess the potential environmental risk of electromagnetic impact in the centimeter range on natural ecosystems. The initial data were the authors' own results in the field of radiobiology of non-ionizing radiation, as well as published of other researchers. The article analyzes the biological effects of radio frequency electromagnetic fields detected in organisms of different systematic groups and levels of organization. The data on the non-thermal biological effects of electromagnetic fields indicate a high sensitivity of different species to this factor. The analyzed research results emphasize the need to take into account the features of non-thermal effects of electromagnetic radiation on biota, since these radiations can have a negative impact on different hierarchical levels in natural ecosystems.

scholarly journals Electromagnetic radiation-based IC device identification and verification using deep learning

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Hong-xin Zhang ◽  
Jia Liu ◽  
Jun Xu ◽  
Fan Zhang ◽  
Xiao-tong Cui ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Electromagnetic Radiation ◽  
Integrated Circuit ◽  
Information Leakage ◽  
Physical Layer ◽  
Descent Method ◽  
Gradient Descent Method ◽  
Absolute Level ◽  
Device Identification ◽  
Multifactor Authentication

Abstract The electromagnetic radiation of electronic equipment carries information and can cause information leakage, which poses a serious threat to the security system; especially the information leakage caused by encryption or other important equipment will have more serious consequences. In the past decade or so, the attack technology and means for the physical layer have developed rapidly. And system designers have no effective method for this situation to eliminate or defend against threats with an absolute level of security. In recent years, device identification has been developed and improved as a physical-level technology to improve the security of integrated circuit (IC)-based multifactor authentication systems. Device identification tasks (including device identification and verification) are accomplished by monitoring and exploiting the characteristics of the IC’s unintentional electromagnetic radiation, without requiring any modification and process to hardware devices, thereby providing versatility and adapting existing hardware devices. Device identification based on deep residual networks and radio frequency is a technology applicable to the physical layer, which can improve the security of integrated circuit (IC)-based multifactor authentication systems. Device identification tasks (identification and verification) are accomplished by passively monitoring and utilizing the inherent properties of IC unintended RF transmissions without requiring any modifications to the analysis equipment. After the device performs a series of operations, the device is classified and identified using a deep residual neural network. The gradient descent method is used to adjust the network parameters, the batch training method is used to speed up the parameter tuning speed, the parameter regularization is used to improve the generalization, and finally, the Softmax classifier is used for classification. In the end, 28 chips of 4 models can be accurately identified into 4 categories, then the individual chips in each category can be identified, and finally 28 chips can be accurately identified, and the verification accuracy reached 100%. Therefore, the identification of radio frequency equipment based on deep residual network is very suitable as a countermeasure for implementing the device cloning technology and is expected to be related to various security issues.

Cold heavy oil production and production by radio-frequency electromagnetic radiation: Comparative numerical study

2016 ◽  
Author(s):  
Alfred Davletbaev ◽  
Victor Kireev ◽  
Liana Kovaleva ◽  
Aleksey Zainullin ◽  
Rais Minnigalimov
Keyword(s):  
Radio Frequency ◽  
Electromagnetic Radiation ◽  
Heavy Oil ◽  
Numerical Study ◽  
Oil Production

scholarly journals Hygienic assessment of the impact of 5G/IMT-2020 communication networks on public health (literature review)

2021 ◽  
Vol 100 (9) ◽  
pp. 929-932
Author(s):  
Anna M. Egorova ◽  
Lydiya A. Lutsenko ◽  
Anna V. Sukhova ◽  
Vyacheslav V. Kolyuka ◽  
Rustam V. Turdyev
Keyword(s):  
Public Health ◽  
Radio Frequency ◽  
Electromagnetic Radiation ◽  
Communication Networks ◽  
Biological Effects ◽  
Three Dimensional ◽  
Cochrane Library ◽  
Pubmed Search ◽  
The Cochrane Library ◽  
The Impact

The program “Digital Economy of the Russian Federation” approved the Concept for the creation and development of 5G / IMT-2020 networks. The development of 5G communications will significantly impact the implementation of many innovative projects and initiatives: the Smart City project, Unmanned Transport, etc. Along with significant technical advantages compared to previous generations of communication (2G, 3G, 4G), 5G technology has completely different emitting characteristics: more emitting elements, signal modulation, three-dimensional beam, the ability to control the beam, SHF (ultra-high) and EHF (extremely high) radio frequency ranges and centimetre and millimetre wavelengths of electromagnetic radiation. Therefore, it is becoming an especially urgent problem to ensure exposure to the human body of non-ionizing electromagnetic fields of the radio frequency range (30 kHz-300 GHz). The authors searched the literature on the biological effects of 5G cellular communications and electromagnetic radiation in the centimetre and millimetre ranges using the appropriate keywords in PubMed search engines, Scopus, Web of Science, Medline, The Cochrane Library, EMBASE, Global Health, CyberLeninka, RSCI and others. There is currently tentative and conflicting evidence on the impact of 5G. The rapidly growing density of wireless devices and antennas (considering future 5G networks) increases the public health risk from exposure to RF EMFs as the penetration depth for 5G EHF radiation is only a few millimetres. At these wavelengths, resonance phenomena are possible at the cellular and molecular levels, particularly concerning stimulating SHF and EHF oxidative processes and damaging DNA. The influence of the millimetre range of RF-EMF is poorly understood; oncological and non-oncological (impact on the reproductive, immune systems, etc.) effects are possible. Using numerical simulation methods of EMF radiation resonances on insects, Thielens A et al., 2018, found a significant overall increase in the absorbed RF power at a frequency of 6 GHz and higher than a frequency below 6 GHz.

scholarly journals Hubungan penggunaan smartphone dengan fungsi penglihatan pada mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi Manado angkatan 2016

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Christo F.N. Bawelle ◽  
Fransiska Lintong ◽  
Jimmy Rumampuk
Keyword(s):  
Radio Frequency ◽  
Electromagnetic Radiation ◽  
Light Beam ◽  
Visual Function ◽  
Cellular Phone ◽  
Medical Faculty ◽  
Chi Square ◽  
Cross Sectional ◽  
Reflected Light ◽  
Chi Square Test

Abstract: Smartphone is a kind of cellular phone that has high capability, and worked by radiate the electromagnetic radiation of radio frequency. The eye is visual sense that can capture the reflected light beam of an object. The increased of using smartphone nowadays made the community worry about the effects of smartphone radiation for health especially on the visual function. Objective: To know the correlation between the duration of using smartphone with visual function, and to know the correlation between the intensity of using smartphone with visual function in students of Medical Faculty Unsrat 2016 generation. Method: The research conducted was analytic survey with used cross sectional approach, the research conducted on Oktober 2016 at Department of Physics in Medical Faculty of Manado Sam Ratulangi University. Result: Based on the analysis result by Chi Square test obtained p= 0,033 which means there was the correlation between the duration of using smartphone with the visual function, and there was no correlation the between intensity of using smartphone with visual function with score p=0,786. Conclusion: There was a correlation between the duration of using smartphone with visual function in students of Medical Faculty Manado Sam Ratulangi University. There was no correlation between the intensity of using smartphone with visual function in students of Medical Faculty Manado Sam Ratulangi University.Keywords: smartphone, visual function Abstrak: Smartphone merupakan sejenis telepon seluler yang mempunyai kemampuan tinggi, dan bekerja dengan cara memancarkan sejenis radiasi elektromagnetik radio frekuensi. Mata merupakan indra penglihatan yang dapat menangkap berkas cahaya yang dipantulkan dari sebuah benda. Peningkatan penggunaan smartphone di era sekarang ini menimbulkan kekhawatiran pada masyarakat tentang efek radiasi sinar smartphone terhadap kesehatan terutama fungsi penglihatan. Tujuan: Untuk mengetahui hubungan antara lama penggunaan smartphone dengan fungsi penglihatan, dan untuk mengetahui hubungan antara intensitas penggunaan smartphone dengan fungsi penglihatan pada mahasiswa Fakultas Kedokteran Unsrat angkatan 2016. Metode: Penelitian yang dilakukan bersifat survei analitik dengan menggunakan pendekatan cross sectional, penelitian dilakukan pada bulan Oktober 2016 di Bagian Fisika Fakultas Kedokteran Universitas Sam Ratulangi Manado. Hasil: Berdasarkan hasil analisis dengan uji Chi Square diperoleh p=0,033 yang artinya ada hubungan lama penggunaan smartphone dengan fungsi penglihatan. Tidak terdapat hubungan secara statistik antara intensitas pengguanaan smartphone dengan fungsi penglihatan dengan nilai p=0,786. Simpulan: Ada hubungan antara lama penggunaan smartphone dengan fungsi penglihatan pada Mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi. Tidak ada hubungan antara intensitas penggunaan smartphone dengan fungsi penglihatan pada Mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi.Kata kunci: smartphone, fungsi penglihatan

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